Qian Liu
Xiamen University
425 Papers
2.1K Citations
Qian Liu is an academic researcher from Xiamen University. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 57, co-authored 340 publications. Previous affiliations of Qian Liu include Orlando Regional Medical Center & Peking Union Medical College Hospital.
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Papers
Recent Progress in Cobalt‐Based Heterogeneous Catalysts for Electrochemical Water Splitting
TL;DR: Current progress in this field is summarized here, especially highlighting several important bifunctional catalysts, and various approaches to improve or optimize the electrocatalysts are introduced.
2.2K
Carbon Nanotubes Decorated with CoP Nanocrystals: A Highly Active Non‐Noble‐Metal Nanohybrid Electrocatalyst for Hydrogen Evolution
TL;DR: A nanohybrid that consists of carbon nanotubes decorated with CoP nanocrystals (CoP/CNT) was prepared by the low-temperature phosphidation of a Co3O4/C NT precursor and only requires overpotentials of 70 and 122 mV to attain current densities of 2 and 10 mA cm(-2), respectively.
1.1K
A review of oxygen reduction mechanisms for metal-free carbon-based electrocatalysts
Ruguang Ma,Gaoxin Lin,Yao Zhou,Qian Liu,Tao Zhang,Guangcun Shan,Minghui Yang,Jiacheng Wang +7 more
- 19 Jul 2019
TL;DR: In this paper, the authors summarized the up-to-date progress in the studies of carbon materials, and emphasized on the combination of experiment and theory to clarify the underlying mechanisms of these materials.
The OsSPL16-GW7 regulatory module determines grain shape and simultaneously improves rice yield and grain quality
Shaokui Wang,Shan Li,Qian Liu,Kun Wu,Jianqing Zhang,Shuansuo Wang,Yi Wang,Xiangbin Chen,Yi Zhang,Caixia Gao,Feng Wang,Haixiang Huang,Xiangdong Fu +12 more
TL;DR: Manipulation of the OsSPL16-GW7 module represents a new strategy to simultaneously improve rice yield and grain quality and is associated with higher grain quality without the yield penalty imposed by the Basmati gw8 allele.
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A high-throughput method to monitor the expression of microRNA precursors
TL;DR: A sensitive, high throughput, real-time PCR assay to monitor the expression of miRNA precursors and proposes that the PCR assay may be scaled up to include all of the 150+ known human miRNA genes and can easily be adaptable to other organisms such as plants, Caenorhabditis elegans and Drosophila.